A method of dispensing fluid includes three processes. A first one of these processes includes pumping fluid into a resilient variable-volume dispensing chamber. The dispensing chamber is in series with a normally present finite fluid impedance and an output. The impedance is sufficient so as to cause expansion of the dispensing chamber as it receives pumped fluid even while some fluid flows through the output. Another one of these processes includes repeatedly measuring a parameter related to volume of the dispensing chamber over time. A third one of these processes includes controlling the pumping of fluid based on repeated measurements of the parameter to produce a desired fluid flow through the output. A corresponding system for dispensing fluid implements these processes.

A device for infusing liquid medicaments such as insulin includes an infusion pump. The device can modify a medicament delivery protocol stored in memory to delivery an alternative medicament delivery protocol with the pump.

A medical device comprising an infusion device comprising a fluid reservoir to contain a therapeutic fluid and a transcutaneous access tool fluidly coupled to the fluid reservoir, the transcutaneous access tool configured to deliver the therapeutic fluid subcutaneously to a patient; wherein the infusion device operates in a stand-by mode prior to the therapeutic fluid being introduced into the fluid reservoir; wherein the infusion device operates to deploy the transcutaneous access tool within a predetermined deployment time period upon filling the fluid reservoir to a predetermined fill level with the therapeutic fluid.

Techniques related to advance diagnosis of operating mode viability are disclosed. The techniques may involve obtaining status information pertaining to operation of a fluid delivery device. The status information may include at least one of a group comprising recent sensor measurement data, sensor calibration data, blood glucose reference measurement data, fluid delivery data, a current battery level of the fluid delivery device, and a current amount of fluid remaining in the fluid delivery device. The techniques may further involve determining, based on the status information, viability of transitioning to a destination operating mode of the fluid delivery device. Additionally, the techniques may involve causing generation of one or more user notifications of recommended remedial actions to improve the viability of transitioning to the destination operating mode when transitioning into the destination operating mode is determined not to be viable.

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode.

Methods and systems for utilizing co-simulation of a physical model and a self-adaptive predictive controller using hybrid automata are described. For example, there is disclosed a self-adaptive predictive control system to generate an initial patient model with initial patient model settings (k.sub.1, k.sub.2, . . . , k.sub.n) and execute a program that takes as input, the initial patient model settings as configuration parameters that specify at least a plurality of initial states. Such a system further receives new patient inputs and generates hybrid automata as a variation of the initial states by applying the new patient inputs to the initial patient model. The system further derives reachable states from the hybrid automata and outputs all reachable states computed. The system further detects changes and responsively generates a new patient predictive model with new parameter settings (k′.sub.1, k′.sub.2, . . . , k′.sub.n), iteratively repeating until a termination criterion is satisfied. Other related embodiments are disclosed.

An example system for therapy delivery includes one or more processors configured to in response to a prediction indicating that the meal event is to occur, output instructions to an insulin delivery device to deliver a partial therapy dosage, to a device to notify the patient to use the insulin delivery device to take the partial therapy dosage, or to the insulin delivery device to prepare the partial therapy dosage prior to the meal event occurring, and in response to a determination indicating that the meal event is occurring (e.g., based on movement characteristics of a patient arm), output instructions to the insulin delivery device to deliver a remaining therapy dosage, to the device to notify the patient to use the insulin delivery device to take the remaining therapy dosage, or to the insulin delivery device to prepare the remaining therapy dosage.

Provided is a liquid medication control injection device including a blood glucose measuring unit configured to measure blood glucose of target of injection at least a plurality of times, sequentially, a first liquid medication injection unit configured to inject a first liquid medication containing a component for controlling a decrease in blood glucose of the target of injection to the target of injection, and a second liquid medication injection unit configured to inject a second liquid medication containing a component for controlling an increase in blood glucose of the target of injection, wherein the component of the second liquid medication is different from that of the first liquid medication.

Techniques disclosed herein relate generally to notification generation in a medical device system. In some embodiments, the techniques involve generating a first notification via a medical application executing on a first device, determining that the first notification was not acknowledged within a predetermined time frame, and causing generation of a second notification at a medical device carried by a user to notify the user that the first notification has not been acknowledged.

A computer-implemented diabetes management method includes a first determination of an insulin bolus related to one or more obtained glucose values and optionally the expected carbohydrate content of a meal to be ingested, a re-calculation of an insulin bolus in consideration of a user's body parameter information as measured by a body-worn sensor, providing a notification to the user if there is a significant deviation between the two calculated bolus amounts, and a user input whether the calculated insulin bolus or the re-calculated insulin bolus is selected by the user for bolus administration.